Chun‐Ting Chen
Impact in
- Cell Biology top 2%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
- Aging top 10%
Papers in
- Co-authors
- Stephen Doxsey (5 shared papers)Sambra D. Redick (2 shared papers)Jack Rosa (1 shared paper)Adam Gromley (1 shared paper)James Sillibourne (1 shared paper)Minakshi Guha (1 shared paper)Charles Yeaman (1 shared paper)Wei‐Ren Liu (3 shared papers)
- Journals
- World Neurosurgery (13 papers)Medicine (2 papers)Trends in Cell Biology (1 paper)Dyes and Pigments (1 paper)Cell (1 paper)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Chun‐Ting Chen
53 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 111
- Cell Biology 507
- Aging 24
- Neurology 114
- Molecular Biology 550
- Physiology 24
Countries citing papers authored by Chun‐Ting Chen
This map shows the geographic impact of Chun‐Ting Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chun‐Ting Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Ting Chen more than expected).
Fields of papers citing papers by Chun‐Ting Chen
This network shows the impact of papers produced by Chun‐Ting Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chun‐Ting Chen. The network helps show where Chun‐Ting Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun‐Ting Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 357 | |
| 2 | 2011 | 203 | |
| 3 | 2018 | 77 | |
| 4 | 2014 | 72 | |
| 5 | 2014 | 72 | |
| 6 | 2019 | 59 | |
| 7 | 2012 | 56 | |
| 8 | 2017 | 48 | |
| 9 | 2017 | 37 | |
| 10 | 2012 | 33 | |
| 11 | 2018 | 30 | |
| 12 | 2014 | 30 | |
| 13 | 2013 | 28 | |
| 14 | 2016 | 22 | |
| 15 | 2017 | 21 | |
| 16 | 2016 | 16 | |
| 17 | 1996 | 14 | |
| 18 | 2020 | 14 | |
| 19 | 2018 | 14 | |
| 20 | 2021 | 12 |
About Chun‐Ting Chen
Chun‐Ting Chen is a scholar working on Neurology, Surgery, Molecular Biology, Epidemiology and Oncology, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (11 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Neurosurgical Procedures and Complications (4 papers), Microtubule and mitosis dynamics (3 papers), Radiation Detection and Scintillator Technologies (3 papers), Cellular transport and secretion (3 papers), Luminescence Properties of Advanced Materials (3 papers) and Insect and Pesticide Research (3 papers). The work is most often cited by research in Cell Biology (507 citations), Aging (24 citations), Neurology (114 citations), Molecular Biology (550 citations) and Physiology (24 citations). Chun‐Ting Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Stephen Doxsey, Sambra D. Redick, Jack Rosa, Adam Gromley, James Sillibourne, Minakshi Guha, Charles Yeaman, Wei‐Ren Liu, Yuewen Chen and Sabine Loewer. Their work appears in journals such as World Neurosurgery, Medicine, Trends in Cell Biology, Dyes and Pigments and Cell.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.